code: def export_pow_broadcast() -> None:
      node = onnx.helper.make_node(
          "Pow",
          inputs=["x", "y"],
          outputs=["z"],
      )
  
      x = np.array([1, 2, 3]).astype(np.float32)
      y = np.array(2).astype(np.float32)
      z = pow(x, y)  # expected output [1., 4., 9.]
      expect(
          node, inputs=[x, y], outputs=[z], name="test_pow_bcast_scalar"
      )
  
      node = onnx.helper.make_node(
          "Pow",
          inputs=["x", "y"],
          outputs=["z"],
      )
      x = np.array([[1, 2, 3], [4, 5, 6]]).astype(np.float32)
      y = np.array([1, 2, 3]).astype(np.float32)
      # expected output [[1, 4, 27], [4, 25, 216]]
      z = pow(x, y)
      expect(
          node, inputs=[x, y], outputs=[z], name="test_pow_bcast_array"
      )
  
file_path: onnx/onnx/backend/test/case/node/pow.py
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
label_desc: Use image node_id 2 for calling the Pow obj's underlying member method code with example usage: obj.export_pow_broadcast() without return types